{"id":"W3091453089","doi":"10.3390/smartcities3040056","title":"Artificial Intelligence and Robotics in Smart City Strategies and Planned Smart Development","year":2020,"lang":"en","type":"article","venue":"Smart Cities","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Software deployment; Robotics; Artificial intelligence; Terminology; Computer science; Robot; Data science; Software engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001076402,0.0002393625,0.0002839793,0.0001194642,0.0001018285,0.0001927795,0.0001339257,0.0001350245,0.00002149644],"category_scores_gemma":[0.00004844388,0.0002455555,0.00002212848,0.0001814785,0.000226882,0.0002683453,0.0001386415,0.0002563015,0.00001003101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003433898,"about_ca_system_score_gemma":0.00004309304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005913388,"about_ca_topic_score_gemma":0.0008098707,"domain_scores_codex":[0.9989054,0.00001448167,0.000348023,0.0002468627,0.0001360169,0.0003492131],"domain_scores_gemma":[0.9996541,0.0000902738,0.0000262163,0.0001227385,0.00002138691,0.00008528213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004069429,0.0001454727,0.4347359,0.002825293,0.0005200465,0.0003378521,0.04424746,0.05486883,0.001681469,0.2781611,0.003837603,0.1782321],"study_design_scores_gemma":[0.001255847,0.001520312,0.2805792,0.0009488205,0.0001365318,0.0001374877,0.2520519,0.1506452,0.0843588,0.1666477,0.05571925,0.005999078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896145,0.001140039,0.005172045,0.001274461,0.0002937738,0.0001898119,0.00001179487,0.0006398662,0.001663687],"genre_scores_gemma":[0.9959623,0.0003240215,0.003469961,0.0001051536,0.00005762558,0.000024104,0.000009731436,0.00002418389,0.0000229323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2078044,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04890409636577105,"score_gpt":0.2249227191022485,"score_spread":0.1760186227364775,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}